DOI
https://doi.org/10.1007/s11192-010-0196-6
Bibliometric Fingerprints: Name Disambiguation Based on Approximate Structure Equivalence of Cognitive Maps
论文题名译名
文献计量指纹：基于认知地图近似结构等价的名称消歧
摘要
Authorship identity has long been an Achilles’ heel in bibliometric analyses at
the individual level. This problem appears in studies of scientists’ productivity, inventor
mobility and scientific collaboration. Using the concepts of cognitive maps from psychology and approximate structural equivalence from network analysis, we develop a
novel algorithm for name disambiguation based on knowledge homogeneity scores. We
test it on two cases, and the results show that this approach outperforms other common
authorship identification methods with the ASE method providing a relatively simple
algorithm that yields higher levels of accuracy with reasonable time demands.
中文摘要
长期以来，作者身份一直是图书馆文献计量分析的致命弱点个人层面。这个问题出现在对科学家生产力的研究中，发明家流动性和科学协作。利用心理学中的认知映射和网络分析中的近似结构等价的概念，我们开发了一个一种基于知识同质性评分的姓名消歧新算法。我们在两个案例中进行了测试，结果表明该方法优于其他常见方法作者身份识别方法与ASE方法提供了一个相对简单的该算法在合理的时间需求下产生更高水平的精度。
来源关键词
Name disambiguation · Common names · Cognitive map ·Approximate structural equivalence · Knowledge homogeneity score ·Hierarchical clustering
来源智库
Consortium for Science, Policy, and Outcomes (United States)
版权信息
© Akade´miai Kiado´, Budapest, Hungary 2010
NSTL唯一标识符
JA202304200000002ZK
附件
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s11192-010-0196-6.pdf
792.02 kB
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